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Measuring Clustering Quality
- Two methods: extrinsic vs. intrinsic
- Extrinsic: supervised, i.e., the ground truth is available
- Compare a clustering against the ground truth using certain clustering quality measure
- Ex. BCubed precision and recall metrics
- Intrinsic: unsupervised, i.e., the ground truth is unavailable
- Evaluate the goodness of a clustering by considering how well the clusters are separated, and how compact the clusters are
- Ex. Silhouette coefficient
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